Transductive neurofuzzy-based torque control of a milling process: results of a case study

Gajate, Agustín and Bustillo, Andrés and Haber Guerra, Rodolfo E. (2012). Transductive neurofuzzy-based torque control of a milling process: results of a case study. "International Journal of Innovative Computing Information And Control", v. 8 (n. 5 (B)); pp. 3495-3510. ISSN 1349-4198.

Description

Title: Transductive neurofuzzy-based torque control of a milling process: results of a case study
Author/s:
  • Gajate, Agustín
  • Bustillo, Andrés
  • Haber Guerra, Rodolfo E.
Item Type: Article
Título de Revista/Publicación: International Journal of Innovative Computing Information And Control
Date: May 2012
ISSN: 1349-4198
Volume: 8
Subjects:
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents the design and implementation of an intelligent control system based on local neurofuzzy models of the milling process relayed through an Ehternet-based application. Its purpose is to control the spindle torque of a milling process by using an internal model control paradigm to modify the feed rate in real time. The stabilization of cutting cutting torque is especially necessary in milling processes such as high-spedd roughing of steel moulds and dies tha present minor geometric uncertainties. Thus, maintenance of the curring torque increaes the material removal rate and reduces the risk of damage due to excessive spindle vibration, a very sensitive and expensive component in all high-speed milling machines. Torque control is therefore an interesting challenge from an industrial point of view.

More information

Item ID: 21246
DC Identifier: http://oa.upm.es/21246/
OAI Identifier: oai:oa.upm.es:21246
Official URL: http://www.ijicic.org/contents-(2012).htm
Deposited by: Memoria Investigacion
Deposited on: 11 Nov 2013 17:12
Last Modified: 22 Sep 2014 11:23
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